Ruby On Rails Engineer

Responsibilities

• Review and validate AI-generated code proposals - understand the architecture, catch edge cases, approve or redirect
• Ship features end-to-end within a Shopify app
• Triage bugs and tasks; work with agentic coding tools to resolve them
• Maintain platform stability and code quality
• Collaborate closely with engineering leadership on product direction
• Help establish engineering practices as the team grows

Requirements

• Strong Ruby on Rails experience, with hands-on Shopify app development
• Comfort working in an agentic coding environment - you know how to review AI-generated code critically
• Active GitHub: you've been shipping recently and consistently
• Familiarity with AI dev tooling (Claude Code, Codex, or similar) is a plus
• Startup mindset: scrappy, collaborative, no ego
• Strong written English communication

Benefits

Additional Information

Ruby on Rails Engineer Remote - Brazil - Full-time 🏔️ About Sierra Studio When you apply to Sierra, you join an ecosystem. We specialize in connecting talented Brazilian professionals with exciting career opportunities in a highly-vetted small community of growing companies in the US. Applying to Sierra seamlessly integrates you into this ecosystem, granting automatic eligibility for all relevant opportunities we offer. 💼 About Our Hiring Partner Our hiring partner is a fast-growing, fully bootstrapped SaaS company in the e-commerce space. They build loyalty, memberships, and cash back infrastructure exclusively for Shopify brands - helping online stores increase customer lifetime value and retention. The company is ~20 people, fully remote, and scaling quickly. 🛠️ About the Role As a Ruby on Rails Engineer, you'll work closely with a small engineering team to build and ship features on a Shopify app used by hundreds of brands. This is not a traditional "write code from scratch" role - the team operates a modern AI-assisted engineering workflow. Agentic tools propose plans and write code based on task tickets. Your job is to deeply understand the product and codebase, review and validate AI-generated proposals, catch what doesn't make sense, and ship confidently.

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